Evidence map›Paper›PMID 39669012›Full record

ArticleJournal of orthopaedic case reports2024

Robotic-Assisted Total Knee Arthroplasty: Innovations, Precision, and the Future of Joint Reconstruction.

Kunal Aneja, Ravi Teja Rudraraju, Ashok Shyam

Abstract readEditorial
In one paragraph

Article in Journal of orthopaedic case reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Precision medicine in orthopaedics: A review of current technologies and future directions.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2026
    Review
  5. Observational
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Kunal AnejaDepartment of Orthopaedics and Joint Replacement, Max Super Speciality Hospital, New Delhi, India.
Ravi Teja RudrarajuDepartment of Orthopedics-Sports Medicine, Apollo Hospitals, Hyderabad, Telangana, India.
Ashok ShyamDepartment of Orthopedic, Sancheti Institute for Orthopaedics and Rehabilitation, Pune, Maharashtra, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Robotic technology in total knee arthroplasty (TKA) has initiated a paradigm shift in orthopedic surgery, characterized by enhanced precision, patient-specific alignment, and improved outcomes across diverse patient demographics. This editorial explores the rapid advancement from traditional jig-based methods to robotic-assisted TKA, highlighting how systems like the MISSO Robotic System-developed in India-integrate real-time feedback, advanced imaging, and sub-millimeter accuracy to optimize implant placement. These advancements result in better functional outcomes, reduced revision rates, and faster recovery, especially in complex cases. For surgeons, robotic systems offer a reliable way to reproduce optimal surgical outcomes consistently, even in anatomically challenging scenarios. For patients, robotic-assisted TKA provides faster rehabilitation, reduced post-operative pain, and a higher likelihood of long-term implant durability. Hospitals benefit through long-term cost savings, a lower burden of revision surgeries, and the potential for increased patient inflow due to advanced technological offerings. The editorial also discusses the unique positioning of the MISSO Robotic System as a cost-effective solution for South Asian patients, catering to region-specific anatomical challenges such as varied bone densities and joint degeneration patterns. Additionally, by lowering healthcare costs and increasing accessibility, the MISSO system addresses critical needs in high-demand settings. As robotic systems evolve and regulatory frameworks adapt, these technologies are expected to redefine the standard of care in joint replacement surgeries, making high-precision, patient-tailored procedures increasingly available and furthering the commitment to optimal patient outcomes in orthopedic surgery.

Identifiers

PMID39669012
PMCPMC11632476

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.